The role of weather radar in rainfall estimation and its application in meteorological and hydrological modelling—A review

Z Sokol, J Szturc, J Orellana-Alvear, J Popova… - Remote Sensing, 2021 - mdpi.com
Radar-based rainfall information has been widely used in hydrological and meteorological
applications, as it provides data with a high spatial and temporal resolution that improve …

Accounting for satellite rainfall uncertainty in rainfall-triggered landslide forecasting

B Zhao, Q Dai, L Zhuo, J Mao, S Zhu, D Han - Geomorphology, 2022 - Elsevier
With an increasing spatial/temporal resolution and accuracy of satellite rainfall products,
their potential in landslide forecasting has gradually been recognized. Despite this, few …

[HTML][HTML] Representing radar rainfall uncertainty with ensembles based on a time-variant geostatistical error modelling approach

F Cecinati, MA Rico-Ramirez, GBM Heuvelink… - Journal of Hydrology, 2017 - Elsevier
The application of radar quantitative precipitation estimation (QPE) to hydrology and water
quality models can be preferred to interpolated rainfall point measurements because of the …

Impact of the storm sewer network complexity on flood simulations according to the stroke scaling method

Q Yang, Q Dai, D Han, X Zhu, S Zhang - Water, 2018 - mdpi.com
For urban watersheds, the storm sewer network provides indispensable data for flood
modeling but often needs to be simplified to balance the conflict between the large amount …

Analysis of rainfall time structures on a scale of hours

M Müller, V Bližňák, M Kašpar - Atmospheric Research, 2018 - Elsevier
The paper is motivated by the enormous variability of short-term rainfall time structures
which need to be discretized into several typical variants and explained from the viewpoint …

An empirical ensemble rainfall nowcasting model using multi-scaled analogues

X Zou, Q Dai, K Wu, Q Yang, S Zhang - Natural Hazards, 2020 - Springer
Short-term rainfall prediction with high spatial and temporal resolution is of great importance
to rainfall-triggered natural hazards such as landslide, flood, and debris flow. An analogue …

Sensitivity of a weather research and forecasting model to downscaling schemes in ensemble rainfall estimation

J Cai, J Zhu, Q Dai, Q Yang… - Meteorological …, 2020 - Wiley Online Library
Rainfall estimation using the weather research and forecasting (WRF) model is sensitive to
physical parameterizations and downscaling configurations. Concerned with the …

[图书][B] Stream Flow Analysis and Modelling Using Artificial Intelligence Techniques

MAB Seyam - 2016 - search.proquest.com
The reliable prediction of stream flow (SF) is an important aspect in the planning, design and
management of surface water and rivers systems. This prediction can be performed using …

Stream flow analysis and modelling using artificial intelligence techniques/Mohammed AB Seyam

AB Mohammed - 2016 - studentsrepo.um.edu.my
The reliable prediction of stream flow (SF) is an important aspect in the planning, design and
management of surface water and rivers systems. This prediction can be performed using …